Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: International Conference on Image Analysis and Recognition (ICIAR), July 5-7, 2017, Montreal, Canada.
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
In: A Képfeldolgozók és Alakfelismerők Társaságának 9. országos konferenciája - KÉPAF 2013, 2013-01-29 - 2013-02-01, Bakonybél, Magyarország.
IEEE Trans. on Image Processing, 26 (9)., pp. 4430-4445.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 60 (6)., pp. 2318-2331. ISSN 0278-0046
In: International Joint Conference on Neural Networks, May 14–19, 2017, Anchorage, Alaska, USA.
In: IEEE 4th International Conference on Cognitive Infocommunications, CogInfoCom 2013, December 2-5, 2013, 2013-12-02 - 2013-12-05, Budapest, Magyarország.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 23 (1)., pp. 105-115. ISSN 1051-8215
MTA SZTAKI.